What are the hardware requirements for Dolphincoder Starcoder2 15B?

Dolphincoder Starcoder2 15B requires approximately 31.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphincoder Starcoder2 15B and how large is it?

Dolphincoder Starcoder2 15B is developed by cognitivecomputations, a model with 15b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Dolphincoder Starcoder2 15B?

Dolphincoder Starcoder2 15B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphincoder Starcoder2 15B by cognitivecomputations — VRAM 31.9GB, 16K context

Name: Dolphincoder Starcoder2 15B
Author: cognitivecomputations

Dolphincoder Starcoder2 15B is an open-source language model by cognitivecomputations. Features: 15b LLM, VRAM: 31.9GB, Context: 16K, License: bigcode-openrail-m, Instruction-Based, LLM Explorer Score: 0.11.

Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2.... Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil... Dataset:teknium/openhermes En Endpoints compatible Instruct Pytorch Region:us Sharded Starcoder2

Model Card on HF 🤗: https://huggingface.co/dphn/dolphincoder-starcoder2-15b

Dolphincoder Starcoder2 15B Parameters and Internals

LLM Name	Dolphincoder Starcoder2 15B
Repository 🤗	https://huggingface.co/dphn/dolphincoder-starcoder2-15b
Model Size	15b
Required VRAM	31.9 GB
Updated	2026-07-30
Maintainer	cognitivecomputations
Model Type	starcoder2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.0 GB: 7-of-7
Supported Languages	en
Model Architecture	Starcoder2ForCausalLM
License	bigcode-openrail-m
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49154
Torch Data Type	bfloat16

Rank the Dolphincoder Starcoder2 15B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Dolphincoder Starcoder2 15B

Best Alternatives	Context / RAM	Downloads	Likes
Starcoder2 15B Instruct V0.1	16K / 31.9 GB	597	105
Starcoder2 15B Instruct V0.1	16K / 53.4 GB	25	0
Dolphincoder Starcoder2 15B	16K / 31.9 GB	84	69
Starcoder2 15B Instruct	16K / 31.9 GB	6	7
...rCoder2 15B Instruct V0.1 GGUF	16K / 6.2 GB	412	0
...rCoder2 15B Instruct V0.1 GGUF	16K / 6.2 GB	261	0
Starcoder2 15B Instruct GPTQ	16K / 9.2 GB	2	2

Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphincoder-starcoder2-15b.